Evaluation of a whole‐exome sequencing pipeline and benchmarking of causal germline variant prioritizers
Abstract
Most causal variants of Mendelian diseases are exonic. Whole-exome sequencing (WES) has become the diagnostic gold standard, but causative variant prioritization constitutes a bottleneck. Here we assessed an in-house sample-to-sequence pipeline and benchmarked free prioritization tools for germline causal variants from WES data. WES of 61 unselected patients with a known genetic disease cause was obtained. Variant prioritizations were performed by diverse tools and recorded to obtain a diagnostic yield when the causal variant was present in the first, fifth, and 10th top rankings. A fraction of causal variants was not captured by WES (8.2%) or did not pass the quality control criteria (13.1%). Most of the applications inspected were unavailable or had technical limitations, leaving nine tools for complete evaluation. Exomiser performed best in the top first rankings, while LIRICAL led in the top fifth rankings. Based on the more conservative top 10th rankings, Xrare had the highest diagnostic yield, followed by a three-way tie among Exomiser, LIRICAL, and PhenIX, then followed by AMELIE, TAPES, Phen-Gen, AIVar, and VarNote-PAT. Xrare, Exomiser, LIRICAL, and PhenIX are the most efficient options for variant prioritization in real patient WES data.
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LIRICAL, XRare, and Exomiser are the strongest performing approaches in a prior comparison of gene prioritization tools.
“LIRICAL, XRare, and Exomiser are the strongest performing approaches in a prior comparison of gene prioritization tools121, and Exomiser is currently in use at multiple UDN sites50.”
From Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases (2025) · cites this paper as [121]
Cites
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AI-MARRVEL — A Knowledge-Driven AI System for Diagnosing Mendelian Disorders
Mao, D., Liu, C., Wang, L., AI-Ouran, R., Deisseroth, C., Pasupuleti, S., Kim, S. Y., Li, L., Rosenfeld, J. A., Meng, L., et al. (2024) · NEJM AI · doi:10.1056/aioa2300009 · Cited by 51 · see citing works
Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases
Alsentzer, E., Li, M. M., Kobren, S. N., Noori, A., Undiagnosed Diseases Network, Kohane, I. S., & Zitnik, M. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01749-1 · Cited by 54 · see citing works
- Authors
- Tosco‐Herrera, E., Muñoz‐Barrera, A., Jáspez, D., Rubio‐Rodríguez, L. A., Mendoza‐Alvarez, A., Rodriguez‐Perez, H., Jou, J., Iñigo‐Campos, A., Corrales, A., Ciuffreda, L., Martinez‐Bugallo, F., Prieto‐Morin, C., García‐Olivares, V., González‐Montelongo, R., Lorenzo‐Salazar, J. M., Marcelino‐Rodriguez, I., & Flores, C.
- Affiliations
- Research Unit Hospital Universitario Nuestra Señora de Candelaria (HUNSC) Santa Cruz de Tenerife Spain
- Universidad de La Laguna (ES)
- Instituto Tecnológico y de Energías Renovables (ES)
- Peoria campus of the University of Illinois System (US)
- Genomics Division Instituto Tecnológico y de Energías Renovables (ITER) Granadilla de Abona Spain
- Instituto de Salud Carlos III (ES)
- Hospital Universitario Nuestra Señora de Candelaria (ES)
- Clinical Analysis Service Hospital Universitario Nuestra Señora de Candelaria (HUNSC) Santa Cruz de Tenerife Spain
- Escuela de Doctorado y Estudios de Posgrado de la Universidad de La Laguna (EDEPULL) Universidad de La Laguna (ULL) San Cristóbal de La Laguna Spain
- Corresponding author
- Flores, Carlos
- ORCID
- Venue
- Human Mutation
- Publisher
- Wiley
- Published
- 2022-09-12
- Volume
- 43
- Issue
- 12
- Pages
- 2010-2020
- ISSN
- 1059-7794 (ISSN-L)
- 1098-1004
- OpenAlex
- W4294354883
- Cited by
- 20
- References
- 2
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 8 · 2023: 4
- FWCI
- 2.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Human Mutation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agencia Canaria de Investigación, Innovación y Sociedad de la Información (TESIS2020010002)
- Ministerio de Ciencia e Innovación (RTC‐2017‐6471‐1)
- Instituto de Salud Carlos III (FI18/00230, CD19/00231, PI20/00876)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- exome sequencing, variant prioritization, monogenic disorders, diagnostic yield, benchmarking, Exomiser, PHENIX, Amélie, Tapes, quality control
- MeSH terms
- Exome Sequencing, Humans, Germ-Line Mutation, Exome
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